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Pearson’s chi-square can be used to test the goodness of fit of a given sample to a theoretical distribution. Given a transcript of length  length and coverage  at position , the test statistic is defined as follows:

, where is the average coverage along the molecule.

A CV is defined as the ratio of the standard deviation and the standard deviation of a probability distribution:

, with standard deviation deviation  and mean mean  

of transformed coverage values values 

Latter Anscombe transformation of coverage values has been proposed [Hansen et al. 2010] under the assumption that the distribution of reads along a transcript follows a Poisson distribution, which is to be transformed to a Gaussian distribution.